Triple

T10258170
Position Surface form Disambiguated ID Type / Status
Subject Jura E240527 entity
Predicate subprefecture P9697 FINISHED
Object Dole E180721 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Dole | Statement: [Jura, subprefecture, Dole]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dole
Context triple: [Jura, subprefecture, Dole]
  • A. Dole chosen
    Dole is a historic town in eastern France known for its well-preserved old center and as the birthplace of scientist Louis Pasteur.
  • B. Dole
    Dole is a surname most prominently associated with American politician and former U.S. Senator Bob Dole.
  • C. Dole
    Dole is a major American agricultural multinational best known for producing and marketing fresh fruits, vegetables, and packaged fruit products worldwide.
  • D. Dole-kun
    Dole-kun is the official mascot character of the Japanese professional football club Hokkaido Consadole Sapporo.
  • E. Papay
    Papay is a small settlement on the Orkney island of Papa Westray in Scotland.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d24de4588190b68fb3daa36dbd7d completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f7e9a9d48190865f047750d7bc6c completed April 9, 2026, 12:50 a.m.
Created at: April 6, 2026, 11:31 a.m.